MedBN: Robust Test-Time Adaptation against Malicious Test Samples

arXiv:2403.19326v1 Announce Type: cross
Abstract: Test-time adaptation (TTA) has emerged as a promising solution to address performance decay due to unforeseen distribution shifts between training and test data. While recent TTA methods excel in adapting to test data variations, such adaptability exposes a model to vulnerability against malicious examples, an aspect that has received limited attention. Previous studies have uncovered security vulnerabilities within TTA even when a small proportion of the test batch is maliciously manipulated. In response to the …

adaptability adaptation address arxiv aspect cs.cr cs.cv cs.lg data distribution examples excel malicious performance shifts solution test training vulnerability